{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from xgboost import XGBRFRegressor as XGBR\n",
    "from numpy import *\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression as LinearRegression\n",
    "from sklearn.model_selection import KFold,cross_val_score as CVS,train_test_split as TTS\n",
    "from sklearn.metrics import mean_squared_error as MSE\n",
    "wine0 = pd.read_csv(\"after_process_database.csv\",header=0)\n",
    "y=wine0.pIC50\n",
    "# y_=wine0.IC50_nM\n",
    "# y_index=wine0.pIC50.index\n",
    "y8=y>7.5"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "source": [
    "\n",
    "y8_list=y8.tolist()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "def get_index1(lst=None, item=0):\n",
    "\n",
    "    return [index for (index,value) in enumerate(lst) if value == item]\n",
    "\n",
    "\n",
    "y_index=get_index1(lst=y8_list,item= True)\n",
    "print(len(y_index))\n",
    "indexy = wine0.loc[y_index,:]\n",
    "indexy"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "525\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SMILES</th>\n",
       "      <th>IC50_nM</th>\n",
       "      <th>pIC50</th>\n",
       "      <th>Caco-2</th>\n",
       "      <th>CYP3A4</th>\n",
       "      <th>hERG</th>\n",
       "      <th>HOB</th>\n",
       "      <th>MN</th>\n",
       "      <th>nAcid</th>\n",
       "      <th>ALogP</th>\n",
       "      <th>...</th>\n",
       "      <th>MW</th>\n",
       "      <th>WTPT-1</th>\n",
       "      <th>WTPT-2</th>\n",
       "      <th>WTPT-3</th>\n",
       "      <th>WTPT-4</th>\n",
       "      <th>WTPT-5</th>\n",
       "      <th>WPATH</th>\n",
       "      <th>WPOL</th>\n",
       "      <th>XLogP</th>\n",
       "      <th>Zagreb</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Oc1ccc2O[C@H]([C@H](Sc2c1)C3CCCC3)c4ccc(OCCN5C...</td>\n",
       "      <td>2.5</td>\n",
       "      <td>8.602060</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.2860</td>\n",
       "      <td>...</td>\n",
       "      <td>439.218115</td>\n",
       "      <td>64.771680</td>\n",
       "      <td>2.089409</td>\n",
       "      <td>15.471445</td>\n",
       "      <td>8.858910</td>\n",
       "      <td>3.406628</td>\n",
       "      <td>3011</td>\n",
       "      <td>47</td>\n",
       "      <td>4.666</td>\n",
       "      <td>166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Oc1ccc2O[C@H]([C@H](Sc2c1)C3CCCCCC3)c4ccc(OCCN...</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.124939</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.8620</td>\n",
       "      <td>...</td>\n",
       "      <td>467.249415</td>\n",
       "      <td>68.960024</td>\n",
       "      <td>2.089698</td>\n",
       "      <td>15.486947</td>\n",
       "      <td>8.863774</td>\n",
       "      <td>3.406648</td>\n",
       "      <td>3516</td>\n",
       "      <td>54</td>\n",
       "      <td>5.804</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Oc1ccc(cc1)[C@H]2Sc3cc(O)ccc3O[C@H]2c4ccc(OCCN...</td>\n",
       "      <td>3.1</td>\n",
       "      <td>8.508638</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7296</td>\n",
       "      <td>...</td>\n",
       "      <td>463.181729</td>\n",
       "      <td>68.748923</td>\n",
       "      <td>2.083301</td>\n",
       "      <td>18.011114</td>\n",
       "      <td>11.390412</td>\n",
       "      <td>3.406644</td>\n",
       "      <td>3542</td>\n",
       "      <td>52</td>\n",
       "      <td>2.964</td>\n",
       "      <td>176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Oc1ccc2O[C@H]([C@@H](CC3CCCCC3)Sc2c1)c4ccc(OCC...</td>\n",
       "      <td>3.9</td>\n",
       "      <td>8.408935</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.3184</td>\n",
       "      <td>...</td>\n",
       "      <td>467.249415</td>\n",
       "      <td>68.883696</td>\n",
       "      <td>2.087385</td>\n",
       "      <td>15.468365</td>\n",
       "      <td>8.857943</td>\n",
       "      <td>3.406624</td>\n",
       "      <td>3594</td>\n",
       "      <td>50</td>\n",
       "      <td>6.015</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Oc1ccc2O[C@H]([C@@H](Cc3ccccc3)Sc2c1)c4ccc(OCC...</td>\n",
       "      <td>7.4</td>\n",
       "      <td>8.130768</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.3551</td>\n",
       "      <td>...</td>\n",
       "      <td>461.202465</td>\n",
       "      <td>68.883696</td>\n",
       "      <td>2.087385</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1964</th>\n",
       "      <td>Cc1ccc(OS(=O)(=O)C2CC3OC2C(=C3c4ccc(O)cc4)c5cc...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.698970</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2.6998</td>\n",
       "      <td>...</td>\n",
       "      <td>568.155574</td>\n",
       "      <td>84.665444</td>\n",
       "      <td>2.065011</td>\n",
       "      <td>22.369454</td>\n",
       "      <td>18.852703</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6133</td>\n",
       "      <td>66</td>\n",
       "      <td>3.412</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1967</th>\n",
       "      <td>COc1cc(OC)cc(\\C=C\\c2ccc(OS(=O)(=O)C3CC4OC3C(=C...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.154902</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.8193</td>\n",
       "      <td>...</td>\n",
       "      <td>598.166139</td>\n",
       "      <td>88.708522</td>\n",
       "      <td>2.062989</td>\n",
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       "      <td>2.526</td>\n",
       "      <td>236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>Oc1ccc(cc1)C2=C(C3OC2CC3S(=O)(=O)Oc4ccc(\\C=C\\c...</td>\n",
       "      <td>19.0</td>\n",
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       "      <td>1.6903</td>\n",
       "      <td>...</td>\n",
       "      <td>570.134839</td>\n",
       "      <td>84.660642</td>\n",
       "      <td>2.064894</td>\n",
       "      <td>24.923083</td>\n",
       "      <td>21.400883</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6421</td>\n",
       "      <td>66</td>\n",
       "      <td>1.884</td>\n",
       "      <td>228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>Oc1ccc(cc1)C2=C([C@H]3O[C@H]2C[C@@H]3S(=O)(=O)...</td>\n",
       "      <td>13.0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.3365</td>\n",
       "      <td>...</td>\n",
       "      <td>436.098059</td>\n",
       "      <td>64.171346</td>\n",
       "      <td>2.070043</td>\n",
       "      <td>19.841924</td>\n",
       "      <td>16.326873</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2583</td>\n",
       "      <td>50</td>\n",
       "      <td>0.782</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>COc1cc(OC)cc(\\C=C\\c2ccc(OS(=O)(=O)[C@H]3C[C@H]...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>7.568636</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "      <td>1.8193</td>\n",
       "      <td>...</td>\n",
       "      <td>598.166139</td>\n",
       "      <td>88.708522</td>\n",
       "      <td>2.062989</td>\n",
       "      <td>25.464529</td>\n",
       "      <td>21.942236</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7421</td>\n",
       "      <td>70</td>\n",
       "      <td>2.526</td>\n",
       "      <td>236</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>525 rows × 512 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 SMILES  IC50_nM     pIC50  \\\n",
       "0     Oc1ccc2O[C@H]([C@H](Sc2c1)C3CCCC3)c4ccc(OCCN5C...      2.5  8.602060   \n",
       "1     Oc1ccc2O[C@H]([C@H](Sc2c1)C3CCCCCC3)c4ccc(OCCN...      7.5  8.124939   \n",
       "2     Oc1ccc(cc1)[C@H]2Sc3cc(O)ccc3O[C@H]2c4ccc(OCCN...      3.1  8.508638   \n",
       "3     Oc1ccc2O[C@H]([C@@H](CC3CCCCC3)Sc2c1)c4ccc(OCC...      3.9  8.408935   \n",
       "4     Oc1ccc2O[C@H]([C@@H](Cc3ccccc3)Sc2c1)c4ccc(OCC...      7.4  8.130768   \n",
       "...                                                 ...      ...       ...   \n",
       "1964  Cc1ccc(OS(=O)(=O)C2CC3OC2C(=C3c4ccc(O)cc4)c5cc...      2.0  8.698970   \n",
       "1967  COc1cc(OC)cc(\\C=C\\c2ccc(OS(=O)(=O)C3CC4OC3C(=C...      7.0  8.154902   \n",
       "1971  Oc1ccc(cc1)C2=C(C3OC2CC3S(=O)(=O)Oc4ccc(\\C=C\\c...     19.0  7.721246   \n",
       "1972  Oc1ccc(cc1)C2=C([C@H]3O[C@H]2C[C@@H]3S(=O)(=O)...     13.0  7.886057   \n",
       "1973  COc1cc(OC)cc(\\C=C\\c2ccc(OS(=O)(=O)[C@H]3C[C@H]...     27.0  7.568636   \n",
       "\n",
       "      Caco-2  CYP3A4  hERG  HOB  MN  nAcid   ALogP  ...          MW  \\\n",
       "0          0       1     1    0   0      0 -0.2860  ...  439.218115   \n",
       "1          0       1     1    0   0      0 -0.8620  ...  467.249415   \n",
       "2          0       1     1    0   1      0  0.7296  ...  463.181729   \n",
       "3          0       1     1    0   0      0 -0.3184  ...  467.249415   \n",
       "4          0       1     1    0   0      0  1.3551  ...  461.202465   \n",
       "...      ...     ...   ...  ...  ..    ...     ...  ...         ...   \n",
       "1964       0       1     1    0   1      0  2.6998  ...  568.155574   \n",
       "1967       0       1     1    0   1      0  1.8193  ...  598.166139   \n",
       "1971       0       1     0    0   1      0  1.6903  ...  570.134839   \n",
       "1972       0       1     0    0   1      0  1.3365  ...  436.098059   \n",
       "1973       0       1     1    0   1      0  1.8193  ...  598.166139   \n",
       "\n",
       "         WTPT-1    WTPT-2     WTPT-3     WTPT-4    WTPT-5  WPATH  WPOL  XLogP  \\\n",
       "0     64.771680  2.089409  15.471445   8.858910  3.406628   3011    47  4.666   \n",
       "1     68.960024  2.089698  15.486947   8.863774  3.406648   3516    54  5.804   \n",
       "2     68.748923  2.083301  18.011114  11.390412  3.406644   3542    52  2.964   \n",
       "3     68.883696  2.087385  15.468365   8.857943  3.406624   3594    50  6.015   \n",
       "4     68.883696  2.087385  15.468365   8.857943  3.406624   3594    50  4.462   \n",
       "...         ...       ...        ...        ...       ...    ...   ...    ...   \n",
       "1964  84.665444  2.065011  22.369454  18.852703  0.000000   6133    66  3.412   \n",
       "1967  88.708522  2.062989  25.464529  21.942236  0.000000   7421    70  2.526   \n",
       "1971  84.660642  2.064894  24.923083  21.400883  0.000000   6421    66  1.884   \n",
       "1972  64.171346  2.070043  19.841924  16.326873  0.000000   2583    50  0.782   \n",
       "1973  88.708522  2.062989  25.464529  21.942236  0.000000   7421    70  2.526   \n",
       "\n",
       "      Zagreb  \n",
       "0        166  \n",
       "1        174  \n",
       "2        176  \n",
       "3        174  \n",
       "4        174  \n",
       "...      ...  \n",
       "1964     228  \n",
       "1967     236  \n",
       "1971     228  \n",
       "1972     174  \n",
       "1973     236  \n",
       "\n",
       "[525 rows x 512 columns]"
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "source": [
    "ADMET=wine0.iloc[:,3:8]\n",
    "ADMET"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
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       "      <th></th>\n",
       "      <th>Caco-2</th>\n",
       "      <th>CYP3A4</th>\n",
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       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1969</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1970</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1971</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1973</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1974 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Caco-2  CYP3A4  hERG  HOB  MN\n",
       "0          0       1     1    0   0\n",
       "1          0       1     1    0   0\n",
       "2          0       1     1    0   1\n",
       "3          0       1     1    0   0\n",
       "4          0       1     1    0   0\n",
       "...      ...     ...   ...  ...  ..\n",
       "1969       0       1     1    0   1\n",
       "1970       0       1     1    0   1\n",
       "1971       0       1     0    0   1\n",
       "1972       0       1     0    0   1\n",
       "1973       0       1     1    0   1\n",
       "\n",
       "[1974 rows x 5 columns]"
      ]
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "std = np.array([1,0,0,1,0])\n",
    "ADMET_=ADMET-std\n",
    "# zeros = []\n",
    "# dic=dict(ADMET_.loc[3].value_counts())\n",
    "# dic[0]\n",
    "# for i in range(len(ADMET_)):\n",
    "#     # dict(ADMET_.loc[3].value_counts())#统计第3行元素的值的个数\n",
    "#     zeros.append(dict(ADMET_.loc[i].value_counts())[0])\n",
    "# zeros"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "metadata": {},
     "execution_count": 6
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "absAD=np.abs(ADMET_)\n",
    "good=absAD.mean(axis=1)<0.5\n",
    "good_index=get_index1(lst=good,item= True)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "source": [
    "len(good_index)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "543"
      ]
     },
     "metadata": {},
     "execution_count": 14
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "rank=wine0.loc[good_index].sort_values(by='pIC50',ascending=False)\n",
    "# rank1=rank[:60]\n",
    "rank = rank.loc[:,'pIC50']\n",
    "data_gra_ = np.array(rank)  \n",
    "plt.figure(figsize=(25,5), dpi=400)\n",
    "plt.plot(range(len(data_gra_)),data_gra_)\n",
    "plt.show\n",
    "len(rank)"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "543"
      ]
     },
     "metadata": {},
     "execution_count": 13
    },
    {
     "output_type": "display_data",
     "data": {
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      "text/plain": [
       "<Figure size 10000x2000 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "metadata": {}
  }
 ],
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